Problem Solving MCP Server
An intelligent problem-solving server that automatically forms multi-role teams and uses the Eisenhower matrix for efficient task management and collaboration.
🚀 Problem Solving MCP Server
Multi-Role Collaborative Problem Solving Framework Based on Model Context Protocol
📖 Documentation Navigation
| Document | Description | Language |
|---|---|---|
| README.md | Complete project documentation | 中文 |
| README.md | Complete project documentation | English |
| INSTALLATION.md | Installation and configuration guide | English |
| QUICK_START.md | Quick start guide (5 minutes) | English |
| example-usage.md | Detailed usage examples | English |
| 安装指南 | 安装和配置指南 | 中文 |
| 快速开始 | 5分钟快速配置 | 中文 |
| 使用示例 | 详细使用示例 | 中文 |
🌟 Overview
This is an intelligent problem-solving MCP server that creates 3-12 professional roles based on problem complexity, uses the Eisenhower Matrix for priority management, and implements parallel processing optimization to generate comprehensive, executable, and efficient solutions.
✨ Core Features
- 🎭 Intelligent Team Configuration: Automatically recommend 3-12 member teams based on problem complexity
- 🔍 Multi-dimensional Quality Assurance: Comprehensive checks on completeness, feasibility, quality, risk, and timeline
- ⚡ Parallel Processing Optimization: Automatically detect repetitive tasks and expand teams (up to 30 members)
- 📊 Eisenhower Matrix Analysis: Important-urgent quadrant analysis for priority management
- 🤝 Multi-role Collaboration: 12 professional role types for comprehensive problem solving
- 💡 Reflection and Improvement: Built-in reflection mechanism for continuous optimization
🛠️ Quick Configuration
In Cursor
{
"mcpServers": {
"problem-solving": {
"command": "node",
"args": ["/path/to/problem-solving-mcp/dist/index.js"],
"cwd": "/path/to/problem-solving-mcp",
"env": {
"NODE_ENV": "production"
}
}
}
}
In Claude Desktop
{
"mcpServers": {
"problem-solving": {
"command": "node",
"args": ["/path/to/problem-solving-mcp/dist/index.js"],
"cwd": "/path/to/problem-solving-mcp",
"env": {
"NODE_ENV": "production"
}
}
}
}
Note: Replace
/path/to/problem-solving-mcpwith your actual project path
🎯 API Documentation
Core Tools (4)
| Tool | Description | Parameters |
|---|---|---|
create_problem | Create problem definition | title, description, domain, complexity_score |
solve_problem | Intelligent problem solving (core function) | problem_id |
get_role_recommendations | Get role configuration suggestions | problem_id |
check_solution | Check solution quality | problem_id |
Management Tools (4)
| Tool | Description | Parameters |
|---|---|---|
get_problem_history | View problem history | - |
get_team_status | View team status | problem_id |
update_team_member | Update team member | problem_id, role_id, updates |
assign_task | Assign tasks | problem_id, task, assigned_to, priority |
Analysis Tools (4)
| Tool | Description | Parameters |
|---|---|---|
eisenhower_matrix_analysis | Important-urgent quadrant analysis | problem_id |
analyze_task_dependencies | Task dependency analysis | problem_id |
optimize_parallel_execution | Parallel execution optimization | problem_id |
get_execution_report | Get execution report | problem_id |
Reflection Tools (3)
| Tool | Description | Parameters |
|---|---|---|
create_reflection | Create reflection record | problem_id, phase, insights, lessons_learned |
get_reflection_summary | Get reflection summary | problem_id |
improve_solution | Improve solution | problem_id, feedback |
🏗️ System Architecture
graph TB
A[Problem Input] --> B[Role Creator]
B --> C[Team Assembly]
C --> D[Solution Generation]
D --> E[Result Checker]
E --> F{Quality Check}
F -->|Pass| G[Execution Plan]
F -->|Fail| H[Improvement Suggestions]
H --> D
G --> I[Parallel Optimizer]
I --> J[Team Expansion]
J --> K[Parallel Execution]
K --> L[Coordinator]
L --> M[Final Solution]
M --> N[Reflection & Learning]
subgraph "Core Components"
B
E
L
I
end
subgraph "Quality Assurance"
F
H
N
end
subgraph "Execution Optimization"
I
J
K
end
🎭 Core Components
1. Role Creator (role-creator.ts)
- Function: Intelligently create professional teams based on problem characteristics
- Team Size: 3-12 members (expandable to 30 for parallel processing)
- Role Types: 12 professional roles including analyst, researcher, designer, developer, etc.
- Smart Matching: Select core and supporting roles based on problem domain and complexity
2. Result Checker (result-checker.ts)
- Multi-dimensional Assessment: Completeness, feasibility, quality, risk, timeline
- Problem Identification: Classify issues by severity (low, medium, high, critical)
- Improvement Suggestions: Generate specific, actionable recommendations
- Scoring System: Comprehensive scoring (0-100) with approval decisions
3. Coordinator (coordinator.ts)
- Process Management: Complete problem-solving workflow orchestration
- Task Dependencies: Manage task relationships and parallel execution
- Progress Tracking: Real-time monitoring of solution progress
- Quality Control: Multi-round improvement and iteration support
4. Parallel Optimizer (parallel-optimizer.ts)
- Task Analysis: Evaluate task repetitiveness and workload
- Team Expansion: Intelligent scaling based on workload analysis
- Role Subdivision: Single-function multi-role parallel processing
- Efficiency Target: 2.5x performance improvement goal
🚀 Best Practices
Problem Definition
// Good example
{
title: "Develop AI Customer Service System",
description: "Develop intelligent customer service system for e-commerce platform, supporting multi-turn dialogue, sentiment analysis, and automatic replies",
domain: "software_development",
complexity_score: 8
}
Team Configuration
- Simple Problems (1-3): 3-5 members, core roles
- Medium Problems (4-6): 6-8 members, core + supporting roles
- Complex Problems (7-10): 9-12 members, full professional team
Priority Management
Use Eisenhower Matrix for task prioritization:
- Urgent & Important: Immediate action
- Important & Not Urgent: Planned execution
- Urgent & Not Important: Delegate or automate
- Not Urgent & Not Important: Eliminate or postpone
⚙️ Configuration and Extension
Environment Variables
NODE_ENV=production # Production mode
DEBUG_MODE=false # Debug mode
MAX_TEAM_SIZE=30 # Maximum team size
PARALLEL_THRESHOLD=0.7 # Parallel processing threshold
Custom Role Types
// Extend role types in types.ts
export enum RoleType {
// ... existing roles
custom_specialist = 'custom_specialist'
}
📊 Performance Metrics
Efficiency Improvements
- Team Expansion: Up to 30 members for complex tasks
- Parallel Processing: 2.5x efficiency improvement target
- Quality Assurance: Multi-dimensional scoring system
- Iteration Optimization: Reflection-based continuous improvement
Resource Allocation
- Capability-based: Workload distribution based on role capabilities
- Conflict Avoidance: Prevent resource conflicts
- Dynamic Load Balancing: Real-time workload adjustment
🧪 Testing and Debugging
Development Mode
npm run dev
Debug Logging
NODE_ENV=development npm start
Test Commands
# Basic functionality test
npm test
# Integration test
npm run test:integration
# Performance test
npm run test:performance
🚀 Deployment and Operations
Production Deployment
# Build project
npm run build
# Start service
npm start
# Process management (PM2)
pm2 start dist/index.js --name problem-solving-mcp
Monitoring
- Health Checks: Service status monitoring
- Performance Metrics: Response time, success rate tracking
- Error Logging: Comprehensive error logging and alerting
Scaling
- Horizontal Scaling: Multiple service instances
- Load Balancing: Request distribution
- Resource Monitoring: CPU, memory usage tracking
🤝 Community and Support
Getting Help
- 📧 Email: [email protected]
- 🐛 Issue Reporting: GitHub Issues
- 📖 Documentation: Wiki
- 💬 Community: Discord
Contributing
- 🔧 Code Contributions: Follow our Contributing Guide
- 📝 Documentation: Help improve documentation
- 🐛 Bug Reports: Report issues with detailed information
- 💡 Feature Requests: Suggest new features
🗺️ Roadmap
Version 1.1
- Persistent storage support (PostgreSQL, MongoDB)
- Web dashboard interface
- RESTful API endpoints
- Role template marketplace
Version 1.2
- Machine learning-based role recommendations
- Advanced parallel processing algorithms
- Integration with external project management tools
- Multi-language support expansion
Version 2.0
- Distributed processing architecture
- Real-time collaboration features
- Advanced analytics and reporting
- Enterprise-grade security features
📄 License
MIT License - see LICENSE file for details
🎉 Congratulations! Your Problem Solving MCP Server is ready!
Start enjoying the power of intelligent problem solving! 🚀✨
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